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Analytics Magazine

March/April 2017: Table of Contents

Analytics March/April 2017FEATURES

ABM and predictive lead scoring

Account-based marketing, and the related technology of predictive lead scoring, is dramatically changing the face of sales and marketing.
By Megan Lueders

Software Survey: Joys, perils of statistics

Trends, developments and what the past year of sports and politics taught us about variability and statistical predictions.
By James J. Swain

Disarming ‘Weapons Of Math Destruction’

Cathy O’Neil’s provocative best-selling book explores the dark side of data science, but data science is largely good. Here’s why.
By Eric Siegel

Predictive talent acquisition strategy

As the cost of failed new hires grows, so does the importance of pre-hire assessment. How to find the right talent assessment vendor.
By Greta Roberts

Voter motives and messages

The analytics story behind the Scottish secession vote, “Brexit” referendum and U.S. presidential election.
By Douglas A. Samuelson

DEPARTMENTS

Inside Story
Executive Edge
Analyze This!
Healthcare Analytics
INFORMS Initiatives
Newsmakers
Analytics in Action
Conference preview: Analytics & O.R.
Q&A: Analytics conference chairman
Conference preview: Marketing Science
Conference preview: Healthcare
Five-Minute Analyst
Thinking Analytically

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    Account-based marketing (ABM) – and the related technology of predictive lead scoring – is dramatically changing the face of sales and marketing. The difference is like spearfishing when all you’ve known before is dragging a net. It’s much more precise and uses analytical processes to ensure that your efforts are…
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    The CUNY School of Professional Studies is offering a new online master of science degree in data analytics. The program prepares its graduates for high-demand and fast-growing careers as data analysts, data specialists, business intelligence analysts, information analysts and data engineers in such fields as business, operations, marketing, social media,…
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Headlines

Fighting terrorists online: Identifying extremists before they post content

New research has found a way to identify extremists, such as those associated with the terrorist group ISIS, by monitoring their social media accounts, and can identify them even before they post threatening content. The research, “Finding Extremists in Online Social Networks,” which was recently published in the INFORMS journal Operations Research, was conducted by Tauhid Zaman of the MIT, Lt. Col. Christopher E. Marks of the U.S. Army and Jytte Klausen of Brandeis University. Read more →

Syrian conflict yields model for attrition dynamics in multilateral war

Based on their study of the Syrian Civil War that’s been raging since 2011, three researchers created a predictive model for multilateral war called the Lanchester multiduel. Unless there is a player so strong it can guarantee a win regardless of what others do, the likely outcome of multilateral war is a gradual stalemate that culminates in the mutual annihilation of all players, according to the model. Read more →

SAS, Samford University team up to generate sports analytics talent

Sports teams try to squeeze out every last bit of talent to gain a competitive advantage on the field. That’s also true in college athletic departments and professional team offices, where entire departments devoted to analyzing data hunt for sports analytics experts that can give them an edge in a game, in the stands and beyond. To create this talent, analytics company SAS will collaborate with the Samford University Center for Sports Analytics to support teaching, learning and research in all areas where analytics affects sports, including fan engagement, sponsorship, player tracking, sports medicine, sports media and operations. Read more →

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